... already-busy CFOs in new ways. Accelerating enterprise AI ambitions CFOs are pressured by CEOs and boards to oversee AI, viewing it as core to success. Only 10% are responsible for AI execution beyond finance, but involvement inAI governance impacts financial performance. CFOs who proactively shape AI strategy ...
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... decisions with artificial intelligence Gartner predicts that by 2025, 95% of decisions that currently use data will be at least partially automated. Decisions that use data can be automated in a variety of ways but fall somewhere between being mostly human-based and entirely automated. In the age of artificial ...
... Access Insights Already a Gartner client? By visualizing where an AI initiative sits on the S-curve, CIOs can make smarter decisions about when to invest, scale, or shift resources, reducing the risks of over- or under-investment. This approach also helps align technology spending with business goals ...
... Access Research Already a Gartner client? Leaders responsible for AI can leverage this end-to-end action plan for implementing model risk controls. This guide covers role definitions, model risk assessment, data readiness, and control implementation. Strategic Planning Assumptions Analysis Research Highlights ...
... Access Insights Already a Gartner client? Agentic AI will not replace IT service providers because organizations still need expertise to govern AI, manage risk, integrate systems and scale adoption. IT sourcing, procurement and vendor management leaders must adopt a hybrid sourcing model, retain governance ...
... AI agents are transforming industries and disrupting traditional business models. Yet, without self-identification and programmable financial transactions, their true potential remains untapped. Enterprise CIOs must act now to enable programmable money, empowering AI agents as economic actors — while ...
Analyst(s): Alistair Newton | Christophe Uzureau | David Furlonger
... Access Insights Already a Gartner client? AI drives organizational change and disruption. Heads of EA must orchestrate business and technology transformation by defining an ambitious AI future, governing use cases and technology choices, enabling fast, repeatable pilots, and designing safe, scalable, ...